Evidence map›Paper›PMID 29506515›Full record

ArticleBMC medical genomics2018

A combined linkage, microarray and exome analysis suggests MAP3K11 as a candidate gene for left ventricular hypertrophy.

Claudia Tamar Silva, Irina V Zorkoltseva, Maartje N Niemeijer, Marten E van den Berg, Najaf Amin, Ayşe Demirkan, Elisa van Leeuwen, Adriana I Iglesias, Laura B Piñeros-Hernández, Carlos M Restrepo and 9 more

Open access · goldAbstract read
In one paragraph

Article in BMC medical genomics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 44% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 14 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

19 authors at 5 institutions in 3 countries.

Claudia Tamar SilvaGenetic Epidemiology Unit, Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands.
Irina V ZorkoltsevaInstitute of Cytology and Genetics SD RAS, Novosibirsk, Russia.
Maartje N NiemeijerDepartment of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands.
Marten E van den BergDepartment of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands.
Najaf AminGenetic Epidemiology Unit, Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands.
Ayşe DemirkanGenetic Epidemiology Unit, Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands.
Elisa van LeeuwenGenetic Epidemiology Unit, Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands.
Adriana I IglesiasGenetic Epidemiology Unit, Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands.
Laura B Piñeros-HernándezCenter for Research in Genetics and Genomics (CIGGUR), Institute of Translational Medicine (IMT), GENIUROS Research group, School of Medicine and Health Science, Universidad del Rosario, Bogotá, Colombia.
Carlos M RestrepoCenter for Research in Genetics and Genomics (CIGGUR), Institute of Translational Medicine (IMT), GENIUROS Research group, School of Medicine and Health Science, Universidad del Rosario, Bogotá, Colombia.
Jan A KorsDepartment of Medical Informatics, Erasmus University Medical Center, Rotterdam, the Netherlands.
Anatoly V KirichenkoInstitute of Cytology and Genetics SD RAS, Novosibirsk, Russia.
Rob WillemsenDepartment of Clinical Genetics, Erasmus University Medical Center, Rotterdam, the Netherlands.
Ben A OostraGenetic Epidemiology Unit, Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands.
Bruno H StrickerDepartment of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands.
André G UitterlindenDepartment of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands.
Tatiana I AxenovichInstitute of Cytology and Genetics SD RAS, Novosibirsk, Russia.
Cornelia M van DuijnGenetic Epidemiology Unit, Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands.
Aaron IsaacsGenetic Epidemiology Unit, Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands. aaron.isaacs@gmail.com.ORCID 0000-0001-5037-4834
Erasmus MC · NLInstitute of Cytology and Genetics · RUUniversidad del Rosario · CODutch Health Care Inspectorate · NLMaastricht University Medical Centre · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundElectrocardiographic measures of left ventricular hypertrophy (LVH) are used as predictors of cardiovascular risk. We combined linkage and association analyses to discover novel rare genetic variants involved in three such measures and two principal components derived from them.

methodsThe study was conducted among participants from the Erasmus Rucphen Family Study (ERF), a Dutch family-based sample from the southwestern Netherlands. Variance components linkage analyses were performed using Merlin. Regions of interest (LOD > 1.9) were fine-mapped using microarray and exome sequence data.

resultsWe observed one significant LOD score for the second principal component on chromosome 15 (LOD score = 3.01) and 12 suggestive LOD scores. Several loci contained variants identified in GWAS for these traits; however, these did not explain the linkage peaks, nor did other common variants. Exome sequence data identified two associated variants after multiple testing corrections were applied.

conclusionsWe did not find common SNPs explaining these linkage signals. Exome sequencing uncovered a relatively rare variant in MAPK3K11 on chromosome 11 (MAF = 0.01) that helped account for the suggestive linkage peak observed for the first principal component. Conditional analysis revealed a drop in LOD from 2.01 to 0.88 for MAP3K11, suggesting that this variant may partially explain the linkage signal at this chromosomal location. MAP3K11 is related to the JNK pathway and is a pro-apoptotic kinase that plays an important role in the induction of cardiomyocyte apoptosis in various pathologies, including LVH.

Indexed as

Exome SequencingGenetic LinkageOligonucleotide Array Sequence AnalysisElectrocardiographyFemaleGenotypeHumansHypertrophy, Left VentricularMaleMAP Kinase Kinase KinasesMiddle AgedMitogen-Activated Protein Kinase Kinase Kinase 11Polymorphism, Single NucleotideMAP Kinase Kinase KinasesMitogen-Activated Protein Kinase Kinase Kinase 11

Identifiers

PMID29506515
PMCPMC5838853
OpenAlexW2790495636

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.